Cloud Computing and Services Science

12th International Conference, CLOSER 2022, Virtual Event, April 27–29, 2022, and 13th International Conference, CLOSER 2023, Prague, Czech Republic, April 26–28, 2023, Revised Selected Papers

AvMaarten van Steen,Donald Ferguson

Häftad, Engelska, 2024

Del 1845 i serien Communications in Computer and Information Science

1 385 kr

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Beskrivning

This book constitutes revised selected papers from the 12th and 13th International Conference on Cloud Computing and Services Science , CLOSER 2022 and CLOSER 2023, which took place as a virtual event in April 2022 and in Prague, Czech Republic, in April 2023. CLOSER 2022 received a total of 45 submissions out of which 3 papers are included in this book. From 46 submissions received for CLOSER 2023, 7 papers have been selected for inclusion in this book. They focus on latest advances and various aspects of cloud computing and the link to services science.

Produktinformation

Utgivningsdatum:2024-08-15
Mått:155 x 235 x 13 mm
Vikt:353 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:213
Förlag:Springer International Publishing AG
ISBN:9783031681646

Utforska kategorier

Programvaruutveckling inom Data och IT
Nätverk och kommunikation inom Data och IT

Innehållsförteckning

Security Aware Scheduling of Multiple Scientific Workflows in Cloud.- Empowering Statistical Analysis in FaaS Environments Through the Orama Framework.- Evaluating Microservices Communication Relationships for Scheduling Containers on Kubernetes Clusters.- Security Evaluation in Software Defined Networks.- A Distributed Tool for Monitoring and Benchmarking a National Federated Cloud.- Metamodel and Formalization to Model, Deploy, and Execute Quantum Workflows.- Edge AI Deployment and Stream Based Time Series Classification Within ARTHUR.- Misconfiguration of Cluster and IoT Systems Recovery Extended Experiments.- Orchestrating Applications in the Cloud to Edge Continuum with Sophos.- Fog Robotics Infrastructures Simulation based Sizing Approach.